{"id":"https://openalex.org/W2062295855","doi":"https://doi.org/10.4304/jcp.8.2.284-289","title":"A Hybrid Simplex Multi-Objective Evolutionary Algorithm Based on A New Fitness Assignment Strategy","display_name":"A Hybrid Simplex Multi-Objective Evolutionary Algorithm Based on A New Fitness Assignment Strategy","publication_year":2013,"publication_date":"2013-01-29","ids":{"openalex":"https://openalex.org/W2062295855","doi":"https://doi.org/10.4304/jcp.8.2.284-289","mag":"2062295855"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.8.2.284-289","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.8.2.284-289","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058735660","display_name":"Xiaofang Guo","orcid":"https://orcid.org/0000-0002-8944-3400"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiaofang Guo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339104","display_name":"Yuping Wang","orcid":"https://orcid.org/0000-0001-6868-0004"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuping Wang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058735660"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3625,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64666623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6736125946044922},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.6573743224143982},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6153269410133362},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5814551115036011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5795816779136658},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5598569512367249},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5409591794013977},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4990537166595459},{"id":"https://openalex.org/keywords/simplex","display_name":"Simplex","score":0.46594369411468506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4632803797721863},{"id":"https://openalex.org/keywords/simplex-algorithm","display_name":"Simplex algorithm","score":0.422313392162323},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.42050594091415405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32818493247032166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2781530022621155},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.17543166875839233}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6736125946044922},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.6573743224143982},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6153269410133362},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5814551115036011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5795816779136658},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5598569512367249},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5409591794013977},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4990537166595459},{"id":"https://openalex.org/C62438384","wikidata":"https://www.wikidata.org/wiki/Q331350","display_name":"Simplex","level":2,"score":0.46594369411468506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4632803797721863},{"id":"https://openalex.org/C144521790","wikidata":"https://www.wikidata.org/wiki/Q134164","display_name":"Simplex algorithm","level":3,"score":0.422313392162323},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.42050594091415405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32818493247032166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2781530022621155},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.17543166875839233},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.8.2.284-289","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.8.2.284-289","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1504943474","https://openalex.org/W1519778441","https://openalex.org/W1553373771","https://openalex.org/W1595498733","https://openalex.org/W1964698923","https://openalex.org/W1971974429","https://openalex.org/W1978740922","https://openalex.org/W2000800716","https://openalex.org/W2001032924","https://openalex.org/W2031232041","https://openalex.org/W2102365077","https://openalex.org/W2105511939","https://openalex.org/W2116555342","https://openalex.org/W2118890415","https://openalex.org/W2126105956","https://openalex.org/W2154693991","https://openalex.org/W2171074980","https://openalex.org/W2994964425","https://openalex.org/W4285719527","https://openalex.org/W6650613293","https://openalex.org/W6650804097"],"related_works":["https://openalex.org/W2185826091","https://openalex.org/W2048470382","https://openalex.org/W2477407501","https://openalex.org/W2384679317","https://openalex.org/W2911215968","https://openalex.org/W1570109187","https://openalex.org/W1583787753","https://openalex.org/W2491692165","https://openalex.org/W2366013513","https://openalex.org/W2020093019"],"abstract_inverted_index":{"In":[0,86,117,162],"multi-objective":[1,144],"evolutionary":[2,145],"algorithms":[3,55],"(MOEAs),":[4],"the":[5,19,23,26,45,54,58,68,83,105,108,114,125,132,136,139,148,157,165,178,210],"traditional":[6],"fitness":[7,101],"assignment":[8,102],"strategy":[9,103],"based":[10],"on":[11,199],"Pareto":[12,70,84,133],"dominance":[13],"is":[14,28,95,121],"ineffective":[15,74],"in":[16,44,131,217],"sorting":[17],"out":[18],"high-quality":[20],"solutions":[21,81],"when":[22],"number":[24],"of":[25,48,79,107],"objective":[27],"large.":[29],"Recently,":[30],"many":[31],"scholars":[32],"have":[33,63],"used":[34],"preference":[35,110],"order":[36,87,111],"(PO)":[37],"ranking":[38,46,60,112],"approach":[39],"as":[40],"an":[41],"optimality":[42],"criterion":[43],"stage":[47],"MOEAs.":[49],"The":[50,190,205],"experiment":[51],"shows":[52],"that":[53,209],"equipped":[56],"with":[57,147,196],"PO":[59],"procedures":[61],"can":[62],"a":[64,77,92,99,154,168,214],"better":[65,215],"convergence":[66,218],"to":[67,75,88,123,127,152,172],"true":[69],"surface,":[71],"but":[72],"are":[73],"maintain":[76],"set":[78],"well-distributed":[80],"over":[82],"surface.":[85],"overcome":[89],"above":[90],"shortcomings,":[91],"new":[93,100],"algorithm":[94,141,146,166,186,192,212],"proposed":[96,140,191,211],"which":[97],"adopts":[98,167],"using":[104],"information":[106],"individual":[109,115],"and":[113,159,177,187,219],"density.":[116],"this":[118],"way,":[119],"\u00a0it":[120],"helpful":[122],"guide":[124],"individuals":[126],"more":[128],"sparse":[129],"areas":[130],"Front.":[134],"At":[135],"same":[137],"time,":[138],"effectively":[142],"combines":[143],"Nelder-Mead":[149],"simplex":[150,188],"search":[151],"get":[153],"balance":[155],"between":[156],"exploration":[158],"exploitation":[160],"abilities.":[161],"each":[163],"generation,":[164],"parallel":[169],"hybrid":[170],"way":[171],"evolve":[173],"two":[174],"subsets":[175],"simultaneously,":[176],"population":[179],"will":[180],"be":[181],"improved":[182],"by":[183,203],"both":[184],"evolution":[185],"search.":[189],"has":[193],"been":[194],"compared":[195],"other":[197],"MOEAs":[198],"some":[200],"many-objective":[201],"problems":[202],"experiments.":[204],"experimental":[206],"results":[207],"indicate":[208],"achieves":[213],"performance":[216],"diversity.":[220]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}